Collection · MT5

Quantitative Trading Strategies MT5

by alimirash

This repository contains a collection of eight quantitative trading strategies implemented for MetaTrader 5.

GitHub stars1
Forks0
Last update2 years ago12 Feb 2024
LicenceNone stated

Overview

The core Rubber Band strategy uses custom volatility bands derived from a five-day range to identify mean-reversion opportunities. It enters trades when price deviates significantly from recent highs or lows and exits based on previous candle breaks or fixed targets. The collection also includes seasonal scripts, relative strength indicators, and day-of-week anomaly strategies. Risk is managed through adjustable stop loss levels, lot sizing, and a defined risk-to-reward ratio for automated exits.

Details

Author

alimirash on GitHub

Type

Collection

Platform

MetaTrader 5 (MQL5)

Strategy

Mean reversion, Breakout, Multi-strategy

Markets

Forex, Indices

Timeframes

M15-H1, H4 and above

Risk Profile

No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.

Input Parameters

Read from RubberBand.mq5. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
Lotdouble0.5LotSize
Stldouble0.0015Stop Loss
RRdouble2R/R
NumberOfCalculationdouble50
multiplyATRdouble2.5

How to Install It

  1. 1Download the sourceUse "Download source (.zip)" above, or clone alimirash/8-Quantitative-Trading-Strategies from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
  3. 3Copy the filesCopy the .mq5 file into Experts.
  4. 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
  5. 5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.

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